iSET+ SBIR Phase I Proposals

1. The Technology Innovation (Up to 3,500 characters)

iSET+ (ISET+ LLC — Information Security & Emerging Technology + LLC) is an Arkansas-organized U.S. small business and AI-powered, adaptive cybersecurity and emerging technology workforce platform that shifts digital tech education from passive recall to cryptographically verifiable, Day-1 operational competence.

Core Innovation & R&D Focus: Existing digital education platforms rely on passive video lectures or multiple-choice quizzes that measure memorization rather than real-world technical execution. iSET+ invents a closed-loop adaptive learning engine that couples real-time large-language-model (LLM) tutoring with sandboxed, live infrastructure environments (e.g., live Wazuh SIEM telemetry, Splunk, Kali Linux, GPU-accelerated neural net sandboxes).

Origins & Unproven High-Impact Mandate: Developed to solve the 750,000+ U.S. cybersecurity worker shortage, iSET+ introduces a novel paradigm: real-time telemetry-driven cognitive scaffolding combined with a zero-trust, blockchain-backed Skills Ledger. As learners execute commands in live sandbox environments, our proprietary AI engine monitors CLI telemetry, correlates errors with cognitive load models (Bloom's Taxonomy), and dynamically scaffolds hint levels, active recall prompts, and spaced repetition schedules without revealing solutions. Upon completion, cryptographic proof of work (hashed telemetry, lab outputs, and architecture blueprints) is published to the Skills Ledger, allowing recruiters to mathematically verify applicant abilities in sub-2 seconds.

Why It Differs From Existing Solutions: Traditional platforms (Coursera, TryHackMe) are either purely theoretical or static guided scripts. iSET+ introduces true high-risk R&D: autonomous red-team simulations and LLM-driven adaptive problem generation that dynamically alters lab configurations based on learner friction points, creating a customized, unscripted learning pathway.

2. The Technical Objectives and Challenges (Up to 3,500 characters)

Phase I R&D Goals: Prove the technical feasibility of real-time telemetry-based cognitive scaffolding and decentralized skill verification in live sandboxed environments.

• Challenge 1 — Real-Time Telemetry Correlation & LLM Scaffolding: Correlate live CLI/SIEM session events with an LLM study coach under 500ms latency. Research tasks include fine-tuning lightweight local model architectures and establishing prompt-guard pipelines to deliver hint scaffolding based on Bloom's cognitive depth without providing answers.
• Challenge 2 — Dynamic Lab Mutability & Autonomous AI Red Teaming: Develop an automated lab engine that dynamically mutates network topologies, SIEM log formats, and threat vectors mid-exercise. R&D involves building autonomous agent scripts that simulate realistic adversary behavior (MITRE ATT&CK tactics) against student defended nodes.
• Challenge 3 — Cryptographic Proof-of-Work & Ledger Integration: Design a lightweight zero-knowledge cryptographic proof mechanism that hashes lab state transitions and terminal outputs into immutable records without exposing sensitive user telemetry or enterprise IP.

Commercial Viability Impact: Proving these R&D objectives transforms workforce development from subjective resumes to undeniable evidence, reducing employer onboarding time from 9 months to Day 1.

3. The Market Opportunity (Up to 1,750 characters)

Customer Profile & Pain Points: The primary near-term customers are enterprise security leaders (CISOs, SOC Managers) and career-transitioning IT/AI professionals. Employers spend $15,000+ per hire on vetting and report that certified applicants cannot operate SIEMs independently on Day 1. Learners face $10,000+ bootcamps that fail to guarantee job placement due to lack of verifiable proof.

Competitive Landscape & Value Proposition: Traditional LMS platforms (Coursera, Udemy) lack interactive infrastructure. Cyber ranges (Immersive Labs, Hack The Box) focus on gamified capture-the-flag (CTF) rather than scaffolded enterprise skill-building with employer-side ATS integration. iSET+ bridges this gap by combining adaptive LLM coaching, production SIEM capstones, and a direct employer verification ledger at a disruptive price point ($24.50–$49.50/month).

4. The Company and Team (Up to 1,750 characters)

Company Status: iSET+ (ISET+ LLC — Information Security & Emerging Technology + LLC) is an Arkansas-organized U.S. small business with a fully operational platform, 40+ published lessons, live SIEM sandboxes, a 32-question certification assessment engine, and an enterprise pipeline. SAM.gov registration is active (UEI UWBRUFG8U6Q7, CAGE 240Y9, registered for All Awards through August 12, 2027).

Key Team Capabilities: Led by veteran cybersecurity curriculum architects, AI engineers, and full-stack software engineers with extensive experience in SOC operations, PCI DSS 4.0 compliance, LLM infrastructure, and educational technology.

R&D Execution & Team Growth: Phase I funding will be allocated to technical research leads specializing in educational LLM alignment, cloud sandbox orchestration, and cryptographic ledger verification, filling key technical research gaps through specialized academic and industry research advisors.